Saarbruecken, Germany

Xinlei He

This inventor holds 1 USPTO granted patent. Top assignee: Gen Digital Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Xinlei He. Retrieved from https://idiyas.com/inventor/xinlei-he

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Innovations in Phishing Detection by Xinlei He

Introduction

Xinlei He is an accomplished inventor based in Saarbruecken, Germany. He has made significant contributions to the field of cybersecurity, particularly in the area of phishing detection. His innovative approach focuses on enhancing machine learning models to better identify and combat phishing attacks.

Latest Patents

Xinlei He holds a patent for a "Phishing detection model training with obfuscation technique-classified training samples." This patent addresses the challenges posed by obfuscation techniques used in phishing attacks that can evade detection by current machine learning models. By identifying and statistically characterizing these techniques, he has developed a method to generate adversarial training samples. This approach aims to improve the performance of machine learning models used for phishing classification.

Career Highlights

Xinlei He is currently employed at Gen Digital Inc., where he continues to work on innovative solutions in cybersecurity. His expertise in machine learning and phishing detection has positioned him as a valuable asset in the industry.

Collaborations

He collaborates with talented professionals such as Savino Dambra and Javier Alejandro Aldana Iuit, contributing to a dynamic work environment focused on advancing technology in cybersecurity.

Conclusion

Xinlei He’s work in phishing detection exemplifies the importance of innovation in cybersecurity. His contributions are vital in the ongoing battle against phishing attacks, ensuring a safer digital environment for users.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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